Job offer

The successful candidate will work on the PRIMO project, which aims to bridge the gap between microstructural characterization and predictive modeling of material behavior. The research will be conducted in strong interaction with the PERP - AMMETIS consortium (AI-assisted Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysis: https://www.pepr-diadem.fr/projet/ammetis-2/). Fundamental research will be conducted for a better understanding and prediction of microstructure-sensitive mechanical behaviour of metals and alloys. This implies two main objectives:

1. The optimization of high-throughput SEM-based platforms to capture local microplasticity mechanisms at the mesoscopic scale. Fully automated in-situ SEM (scanning electron microscopy) deformation tests coupled with High-Resolution Digital Image Correlation (HR-DIC) and Electron BackScatter Diffraction (EBSD) are proposed for optimal mesoscale characterization. It is coupled with additional new methodologies to obtain High Resolution EBSD maps and ECC (Electron channeling Contrast) images for optimized dislocation analysis in bulk materials.
2. The development of innovative multi-scale micromechanical models that consider the effects of crystal defects (dislocations, grain boundaries, precipitates, etc.). These models will be enriched by the experiments led in (1) to improve their predictive capabilities and applied to polycrystals. They will also be used also as valuable tools to help interpret the experimental observations.

We are seeking a highly motivated PhD candidate to join our international research team working on the PRIMO project. Our cutting-edge research focuses on developing high-throughput SEM-based characterizations, as well as advanced modeling approaches that connect material microstructure to local mechanical behavior, with applications for the next-generation structural materials., Master Degree or equivalent, * Master's degree in Materials Science, Mechanical Engineering or a related field

• Knowledge of materials characterization techniques is required
• Programming skills (Python, MATLAB, C++, or similar)
• Experience with numerical methods and computational modeling is a plus
• Familiarity with machine learning approaches is also a plus
• Good written and verbal communication skills in English
• Ability to work independently and as part of a multidisciplinary team, * Characterization of deformed microstructures by advanced SEM-based techniques (in-situ SEM mechanical tests, high resolution EBSD/DIC)
• Development of data-driven approaches to extract key microstructural features on deformed microstructures and relations to material's behavior
• Design of innovative modeling frameworks that incorporate microstructural information into predictive models

Languages ENGLISH